GFT Technologies
GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.
Information Technology • ServiceNow • Technology • Banking • Insurance
Machine Learning Architect
4 days ago
GFT Technologies
GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.
Information Technology • ServiceNow • Technology • Banking • Insurance
📋 Description
• Design, develop, and maintain efficient MLOps solutions for continuous integration and continuous deployment (CI/CD) • Collaborate with data science teams to understand model requirements • Implement tools and pipelines to automate the model lifecycle • Manage the scaling of machine learning models for production environments • Implement version control practices and model tracking • Work with cloud infrastructure (AWS) and containerization tools (Docker, Kubernetes) • Ensure continuous monitoring of models in production • Collaborate with security teams to ensure compliance with data and model security standards • Participate in the evaluation and integration of new technologies
🎯 Requirements
• 5-7 years of experience in MLOps, Data Science, or DevOps • Expertise in deploying ML models to production environments • Proficiency in version control tools (Git, DVC) • Strong experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI • Deep knowledge of cloud infrastructure management (AWS) • Experience with model management systems (MLflow, Kubeflow, etc.) • Experience with databases and handling large-scale data processing • Excellent communication and collaboration skills, both technical and non-technical • Proficiency in English (written and spoken)
🏖️ Benefits
• Diversity & Inclusion: #MakeyourMark • Commitment to cultivating a culture of diversity, equity, and inclusion • Opportunities for growth and development
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